Environmental Policy Under Model Uncertainty: A Robust Optimal Control Approach
The design of optimal environmental policy inherits model uncertainty. We investigate the consequences in a simple linear model, where the aim of the policymaker is to stabilize the atmospheric content of carbon. We study how decision-makers' concerns about robustness alters policy using the Hansen and Sargent (2000, 2003, 2007) approach. The analysis shows that a policymaker, who fears about model misspecification should react more aggressively to changes in the stock of atmospheric carbon and reduce emissions stronger.
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